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熵在构建基于可持续发展目标的区域可持续发展评估指标中的应用:以中国某省为例

Use of Entropy in Developing SDG-based Indices for Assessing Regional Sustainable Development: A Provincial Case Study of China.

作者信息

Wang Xiangyu, Gao Peichao, Song Changqing, Cheng Changxiu

机构信息

State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China.

Key Laboratory of Environmental Change and Natural Disaster, Beijing Normal University, Beijing 100875, China.

出版信息

Entropy (Basel). 2020 Apr 2;22(4):406. doi: 10.3390/e22040406.

DOI:10.3390/e22040406
PMID:33286180
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516882/
Abstract

Sustainable development appears to be the theme of our time. To assess the progress of sustainable development, a simple but comprehensive index is of great use. To this end, a multivariate index of sustainable development was developed in this study based on indicators of the United Nations Sustainable Development Goals (SDGs). To demonstrate the usability of this developed index, we applied it to Fujian Province, China. According to the China SDGs indicators and the Fujian situation, we divided the SDGs into three dimensions and selected indicators based on these dimensions. We calculated the weights and two indices with the entropy weight coefficient method based on collecting and processing of data from 2007 to 2017. We assessed and analyzed the sustainable development of Fujian with two indices and we drew three main conclusions. From 2007 to 2017, the development index of Fujian showed an increasing trend and the coordination index of Fujian showed a fluctuating trend. It is difficult to smoothly improve the coordination index of Fujian because the development speeds of Goal 3 (Good Health and Well-being) and Goal 16 (Peace, Justice, and Strong Institutions) were low. The coordination index of Fujian changed from strong coordination to medium coordination from 2011 to 2012 because the development speed of the environmental dimension suddenly improved. It changed from strong coordination to medium coordination from 2015 to 2016 because the values of the development index of the social dimension were decreasing. To the best of our knowledge, these are the first SDGs-based multivariate indices of sustainable development for a region of China. These indices are applicable to different regions.

摘要

可持续发展似乎是我们这个时代的主题。为了评估可持续发展的进展情况,一个简单而全面的指标非常有用。为此,本研究基于联合国可持续发展目标(SDGs)的指标开发了一个可持续发展的多变量指标。为了证明这个开发指标的可用性,我们将其应用于中国福建省。根据中国可持续发展目标指标和福建的情况,我们将可持续发展目标分为三个维度,并基于这些维度选择指标。我们基于对2007年至2017年数据的收集和处理,采用熵权系数法计算了权重和两个指数。我们用这两个指数对福建的可持续发展进行了评估和分析,并得出了三个主要结论。2007年至2017年,福建的发展指数呈上升趋势,协调指数呈波动趋势。由于目标3(良好健康与福祉)和目标16(和平、正义与强大机构)的发展速度较低,福建的协调指数难以顺利提高。福建的协调指数在2011年至2012年从强协调变为中等协调,是因为环境维度的发展速度突然提高。它在2015年至2016年从强协调变为中等协调,是因为社会维度的发展指数值在下降。据我们所知,这些是中国一个地区首个基于可持续发展目标的多变量可持续发展指数。这些指数适用于不同地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2e5/7516882/8559fc9ad7f9/entropy-22-00406-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2e5/7516882/58c0b1b4e2c3/entropy-22-00406-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2e5/7516882/4f3c285f6d09/entropy-22-00406-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2e5/7516882/8559fc9ad7f9/entropy-22-00406-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2e5/7516882/58c0b1b4e2c3/entropy-22-00406-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2e5/7516882/4f3c285f6d09/entropy-22-00406-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2e5/7516882/8559fc9ad7f9/entropy-22-00406-g003.jpg

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Calculating the Wasserstein Metric-Based Boltzmann Entropy of a Landscape Mosaic.计算基于瓦瑟斯坦度量的景观镶嵌体的玻尔兹曼熵。
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